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Data Analysis

- A Gentle Introduction for Future Data Scientists
Af: Graham Upton, Dan Brawn Engelsk Paperback

Data Analysis

- A Gentle Introduction for Future Data Scientists
Af: Graham Upton, Dan Brawn Engelsk Paperback
Tjek vores konkurrenters priser
Data analysis has been a hot topic for a number of years, and many future data scientists have backgrounds that are relatively light in mathematics. This slim volume provides a very approachable guide to the techniques of the subject, designed with such people in mind. Formulae are kept to a minimum, but the book''s scope is broad, introducing the basic ideas of probability and statistics and more advanced techniques such as generalised linear models, classification using logistic regression, and support-vector machines.An essential feature of the book is that it does not tie to any particular software. The methods introduced in this book could also be implemented using any other statistical software and applying any major statistical package. Academically, the book amounts to a first course, practical for those at the undergraduate level, either as part of a mathematics/statistics degree or as a data-oriented option for a non-mathematics degree. The book appeals to would-be data scientists who may be formula shy. However, it could also be a relevant purchase for statisticians and mathematicians, for whom data science is a new departure, overall appealing to any computer-literate reader with data to analyse.
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Data analysis has been a hot topic for a number of years, and many future data scientists have backgrounds that are relatively light in mathematics. This slim volume provides a very approachable guide to the techniques of the subject, designed with such people in mind. Formulae are kept to a minimum, but the book''s scope is broad, introducing the basic ideas of probability and statistics and more advanced techniques such as generalised linear models, classification using logistic regression, and support-vector machines.An essential feature of the book is that it does not tie to any particular software. The methods introduced in this book could also be implemented using any other statistical software and applying any major statistical package. Academically, the book amounts to a first course, practical for those at the undergraduate level, either as part of a mathematics/statistics degree or as a data-oriented option for a non-mathematics degree. The book appeals to would-be data scientists who may be formula shy. However, it could also be a relevant purchase for statisticians and mathematicians, for whom data science is a new departure, overall appealing to any computer-literate reader with data to analyse.
Produktdetaljer
Sprog: Engelsk
Sider: 160
ISBN-13: 9780192885784
Indbinding: Paperback
Udgave:
ISBN-10: 0192885782
Udg. Dato: 28 aug 2023
Længde: 13mm
Bredde: 235mm
Højde: 156mm
Forlag: Oxford University Press
Oplagsdato: 28 aug 2023
Forfatter(e): Graham Upton, Dan Brawn
Forfatter(e) Graham Upton, Dan Brawn


Kategori Reel analyse, reelle variabler


ISBN-13 9780192885784


Sprog Engelsk


Indbinding Paperback


Sider 160


Udgave


Længde 13mm


Bredde 235mm


Højde 156mm


Udg. Dato 28 aug 2023


Oplagsdato 28 aug 2023


Forlag Oxford University Press

Kategori sammenhænge